Go to content
UR Home

How to measure Data Quality? A Metric-based Approach

URN to cite this document:
urn:nbn:de:bvb:355-epub-236335
Heinrich, Bernd ; Kaiser, Marcus ; Klier, Mathias Rivard, S. ; Webster, J. , eds.
[img]
Preview
PDF
(123kB)
Date of publication of this fulltext: 28 Mar 2012 15:03


Abstract

The growing relevance of data quality has revealed the need for adequate measurement since quantifying data quality is essential for planning quality measures in an economic manner. This paper analyzes how data quality can be quantified with respect to particular dimensions. Firstly, several requirements are stated (e.g. normalization, interpretability) for designing adequate metrics. Secondly, ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons